From stuck to scaled: How hyper-parallel AI training cuts iteration cycles 20X

When it comes to AI, many enterprises seem to be stuck in the prototype phase. Teams can be constrained by GPU capacity and ...
IEEE

Learning the Scale in Reference Picture Resampling for Versatile Video Coding

Abstract: Compressing high-resolution videos under low bitrate constraints is a challenging task. Resampling-based compression, which reduces the resolution before encoding and restores it after ...
IEEE

MC-Refine: Enhanced Cross-Modal 3-D Object Detection via Multistage Cross-Scale Fusion and Box Refinement

Abstract: End-to-end DETR-based cross-modal fusion in 3-D object detection has achieved promising performance in many benchmarks. However, these methods either implement cross-modal fusion in a single ...